fbpx

Type to search

Toyota Joins Low-Cost Camera Strategy for Self-Driving

Gathering diverse driving data using a massive fleet of cars is critical to developing a robust “self-driving” car system, but it is costly and not scalable


Toyota halts production
Toyota's Woven Planet uses cameras that are 90% cheaper than sensors that it used before and can be easily installed in fleets of passenger cars. Photo: Reuters.

 

Toyota Motor unit Woven Planet is following the lead of Tesla in trying to advance self-driving technology with low-cost cameras.

Woven Planet said it is able to use cameras to collect data and effectively train its self-driving system, a “breakthrough” that it hopes will help drive down costs and scale up the technology.

Gathering diverse driving data using a massive fleet of cars is critical to developing a robust self-driving car system, but it is costly and not scalable to test autonomous vehicles only with expensive sensors, it said.

Woven Planet still uses data collected from other sensors like radars and lidars for training as well as long-term deployment.

Tesla has been betting on cameras to collect data from over 1 million vehicles on the road to develop its automated driving technology, while Alphabet’s Waymo and other self-driving car firms added expensive sensors like lidars to some vehicles.

“We need a lot of data. And it’s not sufficient to just have a small amount of data that can be collected from a small fleet of very expensive autonomous vehicles,” Michael Benisch, vice president of engineering at Woven Planet, said.

“Rather, we’re trying to demonstrate that we can unlock the advantage that Toyota and a large automaker would have, which is access to a huge corpus of data, but with a much lower fidelity,” said Benisch, a former engineering director at Lyft.

Woven Planet uses cameras that are 90% cheaper than sensors that it used before and can be easily installed in fleets of passenger cars.

It said using a majority of data coming from low-cost cameras increased its system’s performance to a level similar to when the system was trained exclusively on high-cost sensor data.

He said, however, Toyota would still use multiple sensors such as lidars and radars for robotaxis and other autonomous vehicles to be deployed on the road, as this currently seemed to be the best, safest approach to developing robotaxis.

Toyota is also partnering with Aurora in testing an autonomous ride-hailing fleet based on the Toyota Sienna minivans, equipped with lidars, radars, and cameras.

“But in many, many years, it’s entirely possible that camera type technology can catch up and overtake some of the more advanced sensors,” he said.

“The question may be more about when and how long it will take to reach a level of safety and reliability. I don’t believe we know that yet.”

Tesla’s CEO Elon Musk said it can achieve full autonomy with cameras this year after missing his previous targets several times.

 

  • Reuters, with additional editing by George Russell

 

 

READ MORE:

Waymo Kicks Off Fully Autonomous Rides – The Information

VW Seen In Talks With Huawei on Autonomous Driving Unit

US Critics Lash Musk’s ‘Autonomous, Full Self-Driving’ Claims

 

 

 

George Russell

George Russell is a freelance writer and editor based in Hong Kong who has lived in Asia since 1996. His work has been published in the Financial Times, The Wall Street Journal, Bloomberg, New York Post, Variety, Forbes and the South China Morning Post.

logo

AF China Bond